CN107480422A - Underground water v ulnerability monitoring and evaluation method and device - Google Patents
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Abstract
The embodiment of the present invention provides a kind of underground water v ulnerability monitoring and evaluation method and device.Wherein, methods described includes:Ground mulching data are obtained using multi-spectrum remote sensing image, obtain ground mulching evaluation number;Gradient coefficient is calculated using altitude data, Gradient is obtained, obtains gradient evaluation number;Calculated using altitude data and collect water-based score value, obtained and collect water-based data, obtain collecting water-based evaluation number;Using radar image, shallow-layer material composition data are obtained, obtain shallow-layer material composition evaluation number;V ulnerability evaluation number is obtained according to ground mulching evaluation number, gradient evaluation number, the water-based evaluation number of collection and shallow-layer material composition evaluation number and carries out underground water v ulnerability monitoring and evaluation.The embodiment of the present invention is obtained underground water v ulnerability evaluation number spatial distribution and is carried out v ulnerability monitoring and evaluation using remotely-sensed data, spatial data, on the basis of more inexpensive, improves the rapidity of underground water v ulnerability monitoring and evaluation and comprehensive.
Description
Technical field
The present embodiments relate to underground water v ulnerability monitoring technical field, specially a kind of proluvial fan phreatic water
V ulnerability monitoring and evaluation method and device.
Background technology
Underground water v ulnerability is primarily referred to as power of the stratum to ground water protection.Because groundwater occurrence is extensive, ground
Face ring border complex, therefore carry out the evaluation of underground water v ulnerability, pollution risk zoning is rationally carried out, is that underground water pollution is pre-
The anti-important means with supervision.
At present, underground water v ulnerability be all based on greatly EPA issue DRASTIC methods evaluated.
The major parameter of DRASTIC methods has underground water buried depth (Depth to groundwater), net increment (net
Recharge), anaerobic condition (Aquifer media), soil media (Soil media), landform (Topography), bag
Gas band medium influence (Impact of the vadose zone media), water-bearing layer hydraulic conductivity (aquifer
hydraulic Conductivity).Analyzed according to actual conditions using DRASTIC method frames various regions.At present,
The calculating of parameter is more based on ground acquisition, data collection in the most application of DRASTIC methods, and parameter calculation procedure is multiple
Miscellaneous, manpower consumption is huge;And based on the more parameters obtained with sampling of parameter, computing unit is difficult to refine to space lattice.
Because arid biogeographic zone proluvial fan has unique geographical background, therefore seek one kind and be based on proluvial fan area region characteristic
, quick, comprehensive underground water v ulnerability monitoring and evaluation method and device turn into important research topic.
The content of the invention
To solve problems of the prior art, the embodiment of the present invention provides a kind of underground water v ulnerability monitoring and evaluation
Method and device.
In a first aspect, the embodiment of the present invention provides a kind of underground water v ulnerability monitoring and evaluation method.This method includes:Profit
The ground mulching data of target area are obtained with multi-spectrum remote sensing image, and ground mulching is obtained according to the ground mulching data
Evaluation number;Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and according to the slope number
According to obtaining gradient evaluation number;Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area,
And obtain collecting water-based evaluation number according to the water-based data of collection;Using radar image, the shallow-layer thing of the target area is obtained
Matter composition data, and obtain shallow-layer material composition evaluation number according to the shallow-layer material composition data;Covered according to the earth's surface
Lid evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain
V ulnerability evaluation number, underground water v ulnerability monitoring is carried out to the target area according to the v ulnerability evaluation number
Evaluation.
Second aspect, the embodiment of the present invention provide a kind of underground water v ulnerability monitoring and evaluation device.The device includes:Ground
Table covers evaluation unit, and the earth's surface that the ground mulching evaluation unit is used to obtain target area using multi-spectrum remote sensing image is covered
Lid data, and obtain ground mulching evaluation number according to the ground mulching data;Regional slope evaluation unit, the region slope
Spend evaluation unit to be used to calculate gradient coefficient using altitude data, obtain the Gradient of the target area, and according to described
Gradient obtains gradient evaluation number;Collect water-based evaluation unit, the water-based evaluation unit of collection is by using based on altitude data
Calculate and collect water-based score value, obtain the water-based data of collection of the target area, and obtain collecting water-based according to the water-based data of collection and comment
Valency index;Shallow-layer material composition evaluation unit, the shallow-layer material composition evaluation unit is used to utilize radar image, described in acquisition
The shallow-layer material composition data of target area, and obtain the evaluation of shallow-layer material composition according to the shallow-layer material composition data and refer to
Number;V ulnerability evaluation unit, the v ulnerability evaluation unit are used for according to the ground mulching evaluation number, the gradient
Evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, root
Underground water v ulnerability monitoring and evaluation is carried out to the target area according to the v ulnerability evaluation number.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment.The equipment includes memory and processor, the place
Reason device and the memory complete mutual communication by bus;The memory storage has can be by the computing device
Programmed instruction, the processor call described program instruction to be able to carry out following method:Mesh is obtained using multi-spectrum remote sensing image
The ground mulching data in region are marked, and ground mulching evaluation number is obtained according to the ground mulching data;Utilize altitude data
Gradient coefficient is calculated, obtains the Gradient of the target area, and gradient evaluation number is obtained according to the Gradient;Profit
Calculated with altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and according to the water-based data of collection
Obtain collecting water-based evaluation number;Using radar image, the shallow-layer material composition data of the target area are obtained, and according to described
Shallow-layer material composition data obtain shallow-layer material composition evaluation number;Commented according to the ground mulching evaluation number, the gradient
Valency index, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, according to
The v ulnerability evaluation number carries out underground water v ulnerability monitoring and evaluation to the target area.
Fourth aspect, the embodiment of the present invention provide a kind of computer-readable recording medium, are stored thereon with computer program,
The computer program can realize following method when being executed by processor:The ground of target area is obtained using multi-spectrum remote sensing image
Table covers data, and obtains ground mulching evaluation number according to the ground mulching data;Gradient system is calculated using altitude data
Number, obtains the Gradient of the target area, and obtain gradient evaluation number according to the Gradient;Utilize altitude data
Calculate and collect water-based score value, obtain the water-based data of collection of the target area, and obtain collecting water-based according to the water-based data of collection
Evaluation number;Using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer material group
Shallow-layer material composition evaluation number is obtained into data;According to the ground mulching evaluation number, gradient evaluation number, described
Collect water-based evaluation number and the shallow-layer material composition evaluation number obtains v ulnerability evaluation number, according to the v ulnerability
Evaluation number carries out underground water v ulnerability monitoring and evaluation to the target area.
Underground water v ulnerability monitoring and evaluation method and device provided in an embodiment of the present invention, utilizes remotely-sensed data, space
Data, obtain underground water v ulnerability evaluation number spatial distribution and carry out v ulnerability monitoring and evaluation, in more inexpensive base
On plinth, the rapidity of underground water v ulnerability monitoring and evaluation and comprehensive is improved.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are this hairs
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is underground water v ulnerability monitoring and evaluation method flow diagram provided in an embodiment of the present invention;
Fig. 2 is underground water v ulnerability monitoring and evaluation schematic device provided in an embodiment of the present invention;
Fig. 3 is electronic devices structure schematic diagram provided in an embodiment of the present invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is underground water v ulnerability monitoring and evaluation method flow diagram provided in an embodiment of the present invention.As shown in figure 1, should
Method includes:
Step 101, the ground mulching data using multi-spectrum remote sensing image acquisition target area, and covered according to the earth's surface
Lid data obtain ground mulching evaluation number;
Step 102, using altitude data gradient coefficient is calculated, obtain the Gradient of the target area, and according to institute
State Gradient and obtain gradient evaluation number;
Step 103, the water-based score value of collection is calculated using altitude data, obtain the water-based data of collection of the target area, and
Obtain collecting water-based evaluation number according to the water-based data of collection;
Step 104, using radar image, obtain the shallow-layer material composition data of the target area, and according to described shallow
Layer material composition data obtain shallow-layer material composition evaluation number;
Step 105, according to the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of the collection
V ulnerability evaluation number is obtained with the shallow-layer material composition evaluation number, according to the v ulnerability evaluation number to described
Target area carries out underground water v ulnerability monitoring and evaluation.
Underground water pollution oozes under earth's surface polluter, and it is easy to be oozed under ground mulching situation influence polluter
Degree;The gradient determines the speed oozed under polluter for oozing the meaning having kinetically under underground water;The collection in region is water-based
Represent the ability of respective regions aggregation water, the water of aggregation is bigger, under the water oozed also can be bigger, ooze and polluted under pollutant
Water it is also more;The space of shallow-layer material such as gravel is the passage of groundwater seepage, transport, preservation etc., influences underground water
Seepage velocity and distribution.Phreatic water, which refers mainly to bury relatively shallower and local Atmospheric precipitation or surface water body, to be had directly
Mend the diving of row's relation or weak artesian water, a range of water-bearing layer mainly below earth's surface.Therefore, the shallow-layer material group
It is primarily referred to as into shallow-layer described in data and the shallow-layer material composition evaluation number in the following certain limit of earth's surface.It can be seen that ground
Table covering, the gradient, collect water-based and shallow-layer material composition be influence underground water v ulnerability important indicator, can characterize underground water by
The degree of danger of pollution.
The embodiment of the present invention by obtain the ground mulching evaluation number based on ground mulching data, based on Gradient
Gradient evaluation number, the shallow-layer material based on the water-based evaluation number of collection for collecting water-based data and based on shallow-layer material composition data
Composition evaluation number obtains v ulnerability evaluation number, and then the monitoring of underground water v ulnerability is carried out to the target area and is commented
Valency.
It should be noted that point of above-mentioned steps 101, step 102, step 103 and step 104 without precedence, i.e., pair
Step 101, step 102, the order of step 103 and step 104 do not limit.
Specifically, the ground mulching data of target area are obtained using multi-spectrum remote sensing image, and are covered according to the earth's surface
Lid data obtain ground mulching evaluation number, the ground mulching data can also be used existing each mechanism land use or
Land cover pattern data acquisition.The ground mulching evaluation number is obtained according to the ground mulching data, ground mulching evaluation refers to
Number is higher, and it is higher to characterize the contaminated danger of underground water.
Specifically, gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and according to described
Gradient obtains gradient evaluation number, the altitude data concretely digital elevation model (Digital Elevation
Model, DEM) altitude data.The gradient is expressed with gradient coefficient, gradient coefficient is generally with domatic vertical height and level
The percentage of width represents.The Gradient is the set of the gradient coefficient, obtains the gradient according to the Gradient and comments
Valency index, gradient coefficient is bigger, and gradient evaluation number is higher, and it is higher to characterize the contaminated danger of underground water.
Specifically, calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and root
Obtain collecting water-based evaluation number according to the water-based data of the collection, the altitude data concretely DEM altitude datas.The collection is water-based
Data are the set for collecting water-based score value.It is higher to collect water-based score value, it is higher to collect water-based evaluation number, characterize underground water by
The danger of pollution is higher.
Specifically, using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer
Material composition data obtain shallow-layer material composition evaluation number.Penetrability using C-band microwave to shallow layer surface, inverting shallow-layer
Material composition, such as grain size of gravel, obtain the shallow-layer material composition data of the target area, and the shallow-layer material composition data are used
Radar backscattering coefficients are expressed.Because radar is to the penetrability of arid area shallow layer surface, radar raster-displaying system
Number can reflect arid area shallow-layer material composition.The evaluation of shallow-layer material composition is obtained according to the shallow-layer material composition data to refer to
Number.Shallow-layer material composition evaluation number is higher, and it is higher to characterize the contaminated danger of underground water.
The ground mulching evaluation number of acquisition, the gradient evaluation number, the water-based evaluation of the collection refer to more than
Number and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, and v ulnerability evaluation number is higher, characterize ground
The lower contaminated danger of water is higher.Underground water is carried out according to the v ulnerability evaluation number to the target area easily to pollute
Property monitoring and evaluation.
Multi-spectrum remote sensing image data, altitude data and radar image data are the number obtained based on certain resolution
According to, therefore can be obtained on the basis of the multi-spectrum remote sensing image data, the altitude data and the radar image data
The data of target area total space grid, ensure that the acquisition of comprehensive data.
The embodiment of the present invention obtains underground water v ulnerability evaluation number spatial distribution using remotely-sensed data, spatial data
And carry out v ulnerability monitoring and evaluation, on the basis of more inexpensive, improve the quick of underground water v ulnerability monitoring and evaluation
Property and comprehensive.
Further, based on above-described embodiment, the step 105 is according to the ground mulching evaluation number, the gradient
Evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, root
Carrying out underground water v ulnerability monitoring and evaluation to the target area according to the v ulnerability evaluation number is specially:It is described easily dirty
Metachromia evaluation number is the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and described
The product of shallow-layer material composition evaluation number, it is easy that underground water is carried out to the target area according to the v ulnerability evaluation number
Contaminative monitoring and evaluation.
Step 101, step 102, step 103 and step 104 are consistent with the flow shown in Fig. 1, and here is omitted.Due to
The ground mulching evaluation number, the gradient obtained based on step 101, step 102, step 103 and step 104, which is evaluated, to be referred to
The water-based evaluation number of several, described collection and the shallow-layer material composition evaluation number and the v ulnerability evaluation number are direct ratio
Example relation, and it is identical to the importance of v ulnerability evaluation number, therefore the ground mulching evaluation number, the slope can be used
Degree evaluation number, the product for collecting water-based evaluation number and the shallow-layer material composition evaluation number add and obtained described easy
Contamination evaluating index.It can avoid adding and calculate due to error caused by each exponential number level difference because product calculates, because
This described v ulnerability evaluation number is the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation of collection
The product of index and the shallow-layer material composition evaluation number is more reasonable.After obtaining the v ulnerability evaluation number, according to
The v ulnerability evaluation number carries out underground water v ulnerability monitoring and evaluation to the target area.
On the basis of above-described embodiment, the embodiment of the present invention is commented by setting v ulnerability evaluation number as ground mulching
Valency index, gradient evaluation number, the product for collecting water-based evaluation number and shallow-layer material composition evaluation number, there is provided a kind of reasonable
V ulnerability evaluation number computational methods, improve the accuracy and rapidity of underground water v ulnerability monitoring and evaluation.
Further, based on above-described embodiment, the ground mulching that target area is obtained using multi-spectrum remote sensing image
Data, and obtain ground mulching evaluation number according to the ground mulching data and specifically include:Obtained using multi-spectrum remote sensing image
The ground mulching data of the target area are taken, assignment is carried out according to earth's surface cover type or land use pattern, are obtained described
Ground mulching evaluation number.
The ground mulching data of target area are obtained using multi-spectrum remote sensing image, and are obtained according to the ground mulching data
To ground mulching evaluation number, the land use or land cover pattern of existing each mechanism can also be used in the ground mulching data
Data acquisition.Assignment is carried out according to earth's surface cover type or land use pattern, obtains the ground mulching evaluation number.Earth's surface
It is higher to cover evaluation number, it is higher to characterize the contaminated danger of underground water.Such as vegetation-covered area (arable land, forest land, meadow)
Ground mulching evaluation number is entered as 1;The ground mulching evaluation number of the more fine and smooth covering area of the soil properties such as salt crust, sand ground is assigned
It is worth for 2;The ground mulching evaluation number in gobi gravel area is entered as 3.In addition, there is certain pollution risk in residential area, earth's surface is covered
Lid evaluation number is entered as 2;The ground mulching evaluation number of industrial land is entered as 3.
On the basis of above-described embodiment, the embodiment of the present invention is assigned according to earth's surface cover type or land use pattern
Value, obtains ground mulching evaluation number, there is provided a kind of determination method of rational ground mulching evaluation number, improves underground
The accuracy and rapidity of water v ulnerability monitoring and evaluation.
Further, it is described to calculate gradient coefficient using altitude data based on above-described embodiment, obtain the target area
Gradient, and gradient evaluation number is obtained according to the Gradient and specifically included:Gradient system is calculated using altitude data
Number, is obtained the Gradient of the target area, the Gradient is classified using nature breakpoint method, and to every one-level
Assignment is not carried out, obtains the gradient evaluation number.
Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and according to the slope number
According to obtaining gradient evaluation number, the altitude data concretely DEM altitude datas.The gradient is expressed with gradient coefficient, slope
Degree coefficient is generally represented with the percentage of domatic vertical height and horizontal width ratio.The Gradient is the gradient system
Several set, the gradient coefficient is divided into 4 grades using nature breakpoint method, obtains gradient evaluation number, gradient coefficient is bigger, slope
It is higher to spend evaluation number, it is higher to characterize the contaminated danger of underground water.
On the basis of above-described embodiment, the gradient coefficient is classified by the embodiment of the present invention using nature breakpoint method, is obtained
To gradient evaluation number, there is provided a kind of determination method of rational gradient evaluation number, improve underground water v ulnerability prison
The accuracy and rapidity of test and appraisal valency.
Further, collect water-based score value based on above-described embodiment, described calculated using altitude data, obtain the target
The water-based data of collection in region, and obtain collecting water-based evaluation number according to the water-based data of the collection and specifically include:Utilize altitude data
Calculate and collect water-based score value, obtain the water-based data of collection of the target area, the water-based data of collection are classified, and to every
One rank carries out assignment, obtains the water-based evaluation number of collection;
The water-based score value of collection is calculated by following formula:
Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area in the target area,
SminGo out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and according to described
Collect water-based data and obtain collecting water-based evaluation number, the altitude data concretely DEM altitude datas.The water-based data of the collection are
The set of the water-based score value of collection.
Mountain pass, how much decision proluvial fan fan body underground water waters of river water yield gone out for river for proluvial fan fan top, and is gone out
Water is mainly determined by the gathering ground area on mountain region.Carry out calculating according to the following equation and collect water-based score value, with to target area
The collection of proluvial fan body is water-based in domain is evaluated:
Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area in the target area,
SminGo out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
Water-based score value can will be collected according to the number of proluvial fan body and actual variance etc. and be divided into 2-4 levels.Collect water-based
Score value is higher, and it is higher to collect water-based evaluation number, and it is higher to characterize the contaminated danger of underground water.
On the basis of above-described embodiment, the embodiment of the present invention provides a kind of water-based score value of collection for proluvial fan area
Computational methods, and propose the stage division for collecting water-based score value, improve the underground water v ulnerability monitoring of proluvial fan area and comment
The accuracy and rapidity of valency.
Further, it is described to utilize radar image based on above-described embodiment, obtain the shallow-layer material group of the target area
Into data, and obtain shallow-layer material composition evaluation number according to the shallow-layer material composition data and specifically include:Utilize radar shadow
Picture, the shallow-layer material composition data of the target area are obtained, using unsupervised classification method to the shallow-layer material composition data
It is classified, and assignment is carried out to each rank, obtains the shallow-layer material composition evaluation number.
Using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer material group
Shallow-layer material composition evaluation number is obtained into data.Using radar such as C-band microwave to the penetrability of shallow layer surface, inverting
Shallow-layer material composition, such as grain size of gravel, obtain the shallow-layer material composition data of the target area, the shallow-layer material composition number
Expressed according to Radar backscattering coefficients.It is using unsupervised classification method that the shallow-layer material composition data are backward according to radar
The size of scattering coefficient is divided into 3 grades, carries out shallow-layer material composition evaluation number assignment.The less area of Radar backscattering coefficients
Usually sandy material, shallow-layer material composition evaluation number are entered as 1;The big area of Radar backscattering coefficients is generally gravel
Material, shallow-layer material composition evaluation number are entered as 3;Radar backscattering coefficients area placed in the middle is medium grain material, shallow
Layer material composition evaluation number is entered as 2.Shallow-layer material composition evaluation number is higher, characterizes the contaminated danger of underground water and gets over
It is high.
On the basis of above-described embodiment, the embodiment of the present invention uses unsupervised classification method by the shallow-layer material composition number
According to classification, shallow-layer material composition evaluation number is obtained, there is provided a kind of determination side of rational shallow-layer material composition evaluation number
Method, improve the accuracy and rapidity of underground water v ulnerability monitoring and evaluation.
It is easily dirty with Golmud of Qinghai area proluvial fan underground water below to better illustrate technical scheme of the embodiment of the present invention
Illustrate the specific implementation process of the embodiment of the present invention exemplified by metachromia evaluation.
(1) GIS-Geographic Information System (Geographic Information System, GIS) software (such as ARCGIS) is utilized,
30 meters of resolution ratio land use classes data of target area are opened, the ground mulching in foreland pluvial fan area mainly includes:Plant
The types such as the coated area of coverage such as cover region, salt crust, sand ground, gobi gravel area, industrial land, residential area land used.It is different to this several class
Earth's surface carries out ground mulching evaluation number assignment, is 1 by vegetation-covered area (arable land, forest land, meadow) pixel assignment;By salt crust,
The covering area such as sand ground pixel assignment is 2;It is 3 by gobi gravel area pixel assignment;It is 2 by residential area land used pixel assignment;
It is 3 by industrial land pixel assignment, forms raster data, obtains the ground mulching evaluation number distribution of Golmud foreland pluvial fan
Figure.
(2) GIS software (such as ARCGIS) is utilized, opens 90 meters of resolution ratio Space Shuttle Radar mappings of target area
Task (Shuttle Radar Topography Mission, SRTM) DEM altitude datas, utilize the landform in ARCGIS softwares
Analysis module calculates gradient coefficient.Gradient coefficient figure is divided into 4 grades using natural breakpoint method in ARCGIS, gradient evaluation number point
1,2,3,4 are not entered as, obtain the gradient evaluation number distribution map of Golmud foreland pluvial fan.
(3) GIS software (such as ARCGIS) is utilized, opens 90 meters of resolution ratio SRTM dem datas of target area, is utilized
Hydrological analysis module extraction water system and gathering ground in ARCGIS softwares.Filled by depression, flow to analysis, flowing water cumulant
The steps such as calculating, extract the river network of this area.Vector median filters and smoothing processing are carried out to raster river network, then flowed
Domain analysis, extract receiving basin.Then compare DEM and water system is modified to the receiving basin of extraction, obtain Golmud and week
The gathering ground information of Region In Yanbian.
Using GIS software (such as ARCGIS), open acquired gathering ground hum pattern and high score No.1 satellite is multispectral
Data.Proluvial fan corresponding to each gathering ground is confirmed based on remote sensing image, proluvial fan fan top goes out mountain pass for river, utilizes picture work
Tool depicts the approximate bounds of each proluvial fan.The catchment area gone out more than mountain pass is calculated into the water-based scoring of collection according to the following equation
Value:
Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area in the target area,
SminGo out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
Because target area proluvial fan number is 4, and gathering ground have it is one big, it is other three smaller, therefore will catchment
Property score value is divided into 2 grades, wherein big proluvial fan is entered as 2, other proluvial fans are entered as 1, obtain Golmud foreland pluvial fan
Collect water-based evaluation number distribution map.
(4) using radar data processing software, the SNAP softwares such as downloaded from European Space Agency website, 5*20 rice resolution ratio is opened
No. 1 radar satellite C-band VH polarization data of sentry, and data prediction is carried out using data preprocessing module in SNAP softwares,
Including calibration, ortho-rectification etc., backscattering coefficient tag tmage file (Tag Image File, tif) format chart is generated.
Radar backscattering coefficients TIF figure is opened using ENVI softwares, will using unsupervised classification method
Image is divided into 3 classes according to the size of backscattering coefficient value, carries out shallow-layer material composition evaluation number assignment.Due to radar
To the penetrability of arid area shallow layer surface, Radar backscattering coefficients can reflect proluvial fan shallow-layer material composition, such as gravel
Particle diameter.The less area of Radar backscattering coefficients is usually sandy material, and shallow-layer material composition evaluation number is entered as 1;Thunder
The area big up to backscattering coefficient is generally gravel material, and shallow-layer material composition evaluation number is entered as 3;Radar raster-displaying
Coefficient area placed in the middle is medium grain material, and shallow-layer material composition evaluation number is entered as 2, obtains Golmud foreland pluvial fan
Shallow-layer material composition evaluation number distribution map.
(5) the ground mulching evaluation number distribution map obtained in above step (1)-(4), gradient evaluation number are distributed
Scheme, collect water-based evaluation number distribution map, four index ground mulchings evaluations corresponding to shallow-layer material composition evaluation number distribution map
Index (D), gradient evaluation number (P), the water-based evaluation number (J) of collection and shallow-layer material composition evaluation number (Q) carry out space weight
Sampling, sampled value are unified for 90 meters of spatial resolutions.On the basis of unified spatial resolution, four indexs are subjected to product,
Specifically formula is:
F=D × P × J × Q
Wherein, F is v ulnerability evaluation number.
According to the distribution of v ulnerability evaluation number and regulatory requirement, nature breakpoint method or equidistant method point can be utilized
For some levels, the v ulnerability evaluation number distribution map of Golmud foreland pluvial fan is obtained.
Fig. 2 is underground water v ulnerability monitoring and evaluation schematic device provided in an embodiment of the present invention.As shown in Fig. 2 should
Device, which includes ground mulching evaluation unit 11, regional slope evaluation unit 12, the water-based evaluation unit 13 of collection, shallow-layer material composition, to be commented
Valency unit 14 and v ulnerability evaluation unit 15, wherein:
The ground mulching evaluation unit 11 is used for the ground mulching number that target area is obtained using multi-spectrum remote sensing image
According to, and obtain ground mulching evaluation number according to the ground mulching data;The regional slope evaluation unit 12 is used to utilize
Altitude data calculates gradient coefficient, obtains the Gradient of the target area, and obtain the gradient according to the Gradient and comment
Valency index;The water-based evaluation unit 13 of collection, which is used to calculate using altitude data, collects water-based score value, obtains the target area
The water-based data of collection, and obtain collecting water-based evaluation number according to the water-based data of the collection;The shallow-layer material composition evaluation unit
14 are used to utilize radar image, obtain the shallow-layer material composition data of the target area, and according to the shallow-layer material composition
Data obtain shallow-layer material composition evaluation number;The v ulnerability evaluation unit 15 is used to be referred to according to ground mulching evaluation
Several, described gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability
Evaluation number, underground water v ulnerability monitoring and evaluation is carried out to the target area according to the v ulnerability evaluation number.
The embodiment of the present invention by obtain the ground mulching evaluation number based on ground mulching data, based on Gradient
Gradient evaluation number, the shallow-layer material based on the water-based evaluation number of collection for collecting water-based data and based on shallow-layer material composition data
Composition evaluation number obtains v ulnerability evaluation number, and then the monitoring of underground water v ulnerability is carried out to the target area and is commented
Valency.
Specifically, the ground mulching data of target area are obtained using multi-spectrum remote sensing image, and are covered according to the earth's surface
Lid data obtain ground mulching evaluation number, the ground mulching data can also be used existing each mechanism land use or
Land cover pattern data acquisition.The ground mulching evaluation number is obtained according to the ground mulching data, ground mulching evaluation refers to
Number is higher, and it is higher to characterize the contaminated danger of underground water.
Specifically, gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and according to described
Gradient obtains gradient evaluation number, the altitude data concretely digital elevation model (Digital Elevation
Model, DEM) altitude data.The gradient is expressed with gradient coefficient, gradient coefficient is generally with domatic vertical height and level
The percentage of width represents.The Gradient is the set of the gradient coefficient, obtains the gradient according to the Gradient and comments
Valency index, gradient coefficient is bigger, and gradient evaluation number is higher, and it is higher to characterize the contaminated danger of underground water.
Specifically, calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and root
Obtain collecting water-based evaluation number according to the water-based data of the collection, the altitude data concretely DEM altitude datas.The collection is water-based
Data are the set for collecting water-based score value.It is higher to collect water-based score value, it is higher to collect water-based evaluation number, characterize underground water by
The danger of pollution is higher.
Specifically, using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer
Material composition data obtain shallow-layer material composition evaluation number.Penetrability using C-band microwave to shallow layer surface, inverting shallow-layer
Material composition, such as grain size of gravel, obtain the shallow-layer material composition data of the target area, and the shallow-layer material composition data are used
Radar backscattering coefficients are expressed.Because radar is to the penetrability of arid area shallow layer surface, radar raster-displaying system
Number can reflect arid area shallow-layer material composition.The evaluation of shallow-layer material composition is obtained according to the shallow-layer material composition data to refer to
Number.Shallow-layer material composition evaluation number is higher, and it is higher to characterize the contaminated danger of underground water.
The ground mulching evaluation number of acquisition, the gradient evaluation number, the water-based evaluation of the collection refer to more than
Number and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, and v ulnerability evaluation number is higher, characterize ground
The lower contaminated danger of water is higher.Underground water is carried out according to the v ulnerability evaluation number to the target area easily to pollute
Property monitoring and evaluation.
Multi-spectrum remote sensing image data, altitude data and radar image data are the number obtained based on certain resolution
According to, therefore can be obtained on the basis of the multi-spectrum remote sensing image data, the altitude data and the radar image data
The data of target area total space grid, ensure that the acquisition of comprehensive data.
It is for the above method that the embodiment of the present invention, which provides device, and concrete function can refer to above method flow, herein
Repeat no more.
The embodiment of the present invention obtains underground water v ulnerability evaluation number spatial distribution using remotely-sensed data, spatial data
And carry out v ulnerability monitoring and evaluation, on the basis of more inexpensive, improve the quick of underground water v ulnerability monitoring and evaluation
Property and comprehensive.
Further, based on above-described embodiment, the v ulnerability evaluation unit 15 is used to be commented according to the ground mulching
Valency index, the gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain easy dirt
Metachromia evaluation number, underground water v ulnerability monitoring and evaluation is carried out to the target area according to the v ulnerability evaluation number
Specially:The v ulnerability evaluation number be the ground mulching evaluation number, the gradient evaluation number, it is described collection it is water-based
The product of evaluation number and the shallow-layer material composition evaluation number, according to the v ulnerability evaluation number to the target area
Domain carries out underground water v ulnerability monitoring and evaluation.
Ground mulching evaluation unit 11, regional slope evaluation unit 12, the water-based evaluation unit 13 of collection and shallow-layer material composition
The 26S Proteasome Structure and Function of evaluation unit 14 is same as the previously described embodiments, and here is omitted.Due to based on ground mulching evaluation unit
11st, the earth's surface that regional slope evaluation unit 12, the water-based evaluation unit 13 of collection and shallow-layer material composition evaluation unit 14 obtain
Cover evaluation number, the gradient evaluation number, it is described collection water-based evaluation number and the shallow-layer material composition evaluation number with
The v ulnerability evaluation number is proportional relationship, and identical to the importance of v ulnerability evaluation number, therefore easily dirty
Metachromia evaluation unit 15 can use the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of collection
With the product of the shallow-layer material composition evaluation number or add and obtain the v ulnerability evaluation number.Because product calculating can
Avoid plus with calculating due to error caused by each exponential number level difference, therefore the v ulnerability evaluation number is describedly
Table covering evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number
Product it is more reasonable.After v ulnerability evaluation unit 15 obtains the v ulnerability evaluation number, according to the v ulnerability
Evaluation number carries out underground water v ulnerability monitoring and evaluation to the target area.
On the basis of above-described embodiment, the embodiment of the present invention is commented by setting v ulnerability evaluation number as ground mulching
Valency index, gradient evaluation number, the product for collecting water-based evaluation number and shallow-layer material composition evaluation number, there is provided a kind of reasonable
V ulnerability evaluation number computational methods, improve the accuracy and rapidity of underground water v ulnerability monitoring and evaluation.
Further, based on above-described embodiment, the ground mulching evaluation unit 11 is used to utilize multi-spectrum remote sensing image
The ground mulching data of target area are obtained, and obtains ground mulching evaluation number according to the ground mulching data and specifically wraps
Include:The ground mulching data of the target area are obtained using multi-spectrum remote sensing image, according to earth's surface cover type or soil profit
Assignment is carried out with type, obtains the ground mulching evaluation number.
The ground mulching data of target area are obtained using multi-spectrum remote sensing image, and are obtained according to the ground mulching data
To ground mulching evaluation number, the land use or land cover pattern of existing each mechanism can also be used in the ground mulching data
Data acquisition.Assignment is carried out according to earth's surface cover type or land use pattern, obtains the ground mulching evaluation number.Earth's surface
It is higher to cover evaluation number, it is higher to characterize the contaminated danger of underground water.Such as vegetation-covered area (arable land, forest land, meadow)
Ground mulching evaluation number is entered as 1;The ground mulching evaluation number of the more fine and smooth covering area of the soil properties such as salt crust, sand ground is assigned
It is worth for 2;The ground mulching evaluation number in gobi gravel area is entered as 3.In addition, there is certain pollution risk in residential area, earth's surface is covered
Lid evaluation number is entered as 2;The ground mulching evaluation number of industrial land is entered as 3.
On the basis of above-described embodiment, the embodiment of the present invention is assigned according to earth's surface cover type or land use pattern
Value, obtains ground mulching evaluation number, there is provided a kind of determination method of rational ground mulching evaluation number, improves underground
The accuracy and rapidity of water v ulnerability monitoring and evaluation.
Further, based on above-described embodiment, the regional slope evaluation unit 12 is used to calculate slope using altitude data
Coefficient is spent, obtains the Gradient of the target area, and gradient evaluation number is obtained according to the Gradient and specifically included:
Gradient coefficient is calculated using altitude data, the Gradient of the target area is obtained, using nature breakpoint method to the gradient
Data are classified, and carry out assignment to each rank, obtain the gradient evaluation number.
Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and according to the slope number
According to obtaining gradient evaluation number, the altitude data concretely DEM altitude datas.The gradient is expressed with gradient coefficient, slope
Degree coefficient is generally represented with the percentage of domatic vertical height and horizontal width ratio.The Gradient is the gradient system
Several set, the gradient coefficient is divided into 4 grades using nature breakpoint method, obtains gradient evaluation number, gradient coefficient is bigger, slope
It is higher to spend evaluation number, it is higher to characterize the contaminated danger of underground water.
On the basis of above-described embodiment, the gradient coefficient is classified by the embodiment of the present invention using nature breakpoint method, is obtained
To gradient evaluation number, there is provided a kind of determination method of rational gradient evaluation number, improve underground water v ulnerability prison
The accuracy and rapidity of test and appraisal valency.
Further, based on above-described embodiment, the water-based evaluation unit 13 of collection, which is used to calculate using altitude data, to catchment
Property score value, obtain the water-based data of collection of the target area, and obtain collecting water-based evaluation number according to the water-based data of collection
Specifically include:Calculated using altitude data and collect water-based score value, obtained the water-based data of collection of the target area, catchmented to described
Property data be classified, and assignment is carried out to each rank, obtains the water-based evaluation number of the collection;
The water-based score value of collection is calculated by following formula:
Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area in the target area,
SminGo out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and according to described
Collect water-based data and obtain collecting water-based evaluation number, the altitude data concretely DEM altitude datas.The water-based data of the collection are
The set of the water-based score value of collection.
Mountain pass, how much decision proluvial fan fan body underground water waters of river water yield gone out for river for proluvial fan fan top, and is gone out
Water is mainly determined by the gathering ground area on mountain region.Carry out calculating according to the following equation and collect water-based score value, with to target area
The collection of proluvial fan body is water-based in domain is evaluated:
Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area in the target area,
SminGo out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
Water-based score value can will be collected according to the number of proluvial fan body and actual variance etc. and be divided into 2-4 levels.Collect water-based
Score value is higher, and it is higher to collect water-based evaluation number, and it is higher to characterize the contaminated danger of underground water.
On the basis of above-described embodiment, the embodiment of the present invention provides a kind of water-based score value of collection for proluvial fan area
Computational methods, and propose the stage division for collecting water-based score value, improve the underground water v ulnerability monitoring of proluvial fan area and comment
The accuracy and rapidity of valency.
Further, based on above-described embodiment, the shallow-layer material composition evaluation unit 14 utilizes radar image, obtains institute
The shallow-layer material composition data of target area are stated, and obtains the evaluation of shallow-layer material composition according to the shallow-layer material composition data and refers to
Number specifically includes:Using radar image, the shallow-layer material composition data of the target area are obtained, utilize unsupervised classification method pair
The shallow-layer material composition data are classified, and carry out assignment to each rank, are obtained the shallow-layer material composition evaluation and are referred to
Number.
Using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer material group
Shallow-layer material composition evaluation number is obtained into data.Using radar such as C-band microwave to the penetrability of shallow layer surface, inverting
Shallow-layer material composition, such as grain size of gravel, obtain the shallow-layer material composition data of the target area, the shallow-layer material composition number
Expressed according to Radar backscattering coefficients.It is using unsupervised classification method that the shallow-layer material composition data are backward according to radar
The size of scattering coefficient is divided into 3 grades, carries out shallow-layer material composition evaluation number assignment, and specific assignment mode is:Sandy area is
1, general area is 2, and gravel matter area is 3.Shallow-layer material composition evaluation number is higher, characterizes the contaminated danger of underground water and gets over
It is high.
On the basis of above-described embodiment, the embodiment of the present invention uses unsupervised classification method by the shallow-layer material composition number
According to classification, shallow-layer material composition evaluation number is obtained, there is provided a kind of determination side of rational shallow-layer material composition evaluation number
Method, improve the accuracy and rapidity of underground water v ulnerability monitoring and evaluation.
Fig. 3 is electronic devices structure schematic diagram provided in an embodiment of the present invention.As shown in Figure 3, the equipment 1 includes processor
301st, memory 302 and bus 303.Wherein, the processor 301 and the memory 302 complete phase by the bus 303
Communication between mutually;The processor 301 is used to call the programmed instruction in the memory 302, real to perform above-mentioned each method
Apply the method that example is provided, such as including:Using the ground mulching data of multi-spectrum remote sensing image acquisition target area, and according to
The ground mulching data obtain ground mulching evaluation number;Gradient coefficient is calculated using altitude data, obtains the target area
The Gradient in domain, and gradient evaluation number is obtained according to the Gradient;Calculated using altitude data and collect water-based score value,
The water-based data of collection of the target area are obtained, and obtain collecting water-based evaluation number according to the water-based data of collection;Utilize radar
Image, the shallow-layer material composition data of the target area are obtained, and shallow-layer thing is obtained according to the shallow-layer material composition data
Matter forms evaluation number;According to the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and
The shallow-layer material composition evaluation number obtains v ulnerability evaluation number, according to the v ulnerability evaluation number to the mesh
Mark region and carry out underground water v ulnerability monitoring and evaluation.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer-readable recording medium, the computer program include programmed instruction, when described program instructs quilt
When computer performs, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:Using multispectral distant
Feel the ground mulching data of image capturing target area, and ground mulching evaluation number is obtained according to the ground mulching data;
Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and slope is obtained according to the Gradient
Spend evaluation number;Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and according to institute
The water-based data of collection are stated to obtain collecting water-based evaluation number;Using radar image, the shallow-layer material composition number of the target area is obtained
According to, and obtain shallow-layer material composition evaluation number according to the shallow-layer material composition data;Referred to according to ground mulching evaluation
Several, described gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability
Evaluation number, underground water v ulnerability monitoring and evaluation is carried out to the target area according to the v ulnerability evaluation number.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer readable storage
Medium storing computer instructs, and the computer instruction makes the computer perform the side that above-mentioned each method embodiment is provided
Method, such as including:The ground mulching data of target area are obtained using multi-spectrum remote sensing image, and according to the ground mulching number
According to obtaining ground mulching evaluation number;Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and
Gradient evaluation number is obtained according to the Gradient;Calculated using altitude data and collect water-based score value, obtain the target area
The water-based data of collection in domain, and obtain collecting water-based evaluation number according to the water-based data of collection;Using radar image, the mesh is obtained
The shallow-layer material composition data in region are marked, and shallow-layer material composition evaluation number is obtained according to the shallow-layer material composition data;
According to the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer material group
V ulnerability evaluation number is obtained into evaluation number, underground is carried out to the target area according to the v ulnerability evaluation number
Water v ulnerability monitoring and evaluation.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above method embodiment can pass through
Programmed instruction related hardware is completed, and foregoing program can be stored in a computer read/write memory medium, the program
Upon execution, the step of execution includes above method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or light
Disk etc. is various can be with the medium of store program codes.
The embodiments such as underground water v ulnerability monitoring and evaluation device described above are only schematical, wherein described
The unit illustrated as separating component can be or may not be physically separate, and the part shown as unit can be with
It is or may not be physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can
To select some or all of module therein to realize the purpose of this embodiment scheme according to the actual needs.This area is common
Technical staff is not in the case where paying performing creative labour, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers
Make to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation
Method described in some parts of example or embodiment.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic;
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
- A kind of 1. underground water v ulnerability monitoring and evaluation method, it is characterised in that including:The ground mulching data of target area are obtained using multi-spectrum remote sensing image, and obtain ground according to the ground mulching data Table covers evaluation number;Gradient coefficient is calculated using altitude data, obtains the Gradient of the target area, and obtain according to the Gradient To gradient evaluation number;Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, and catchment according to described Property data obtain collecting water-based evaluation number;Using radar image, the shallow-layer material composition data of the target area are obtained, and according to the shallow-layer material composition number According to obtaining shallow-layer material composition evaluation number;According to the ground mulching evaluation number, the gradient evaluation number, the water-based evaluation number of the collection and the shallow-layer thing Matter composition evaluation number obtains v ulnerability evaluation number, and the target area is carried out according to the v ulnerability evaluation number Underground water v ulnerability monitoring and evaluation.
- 2. according to the method for claim 1, it is characterised in that described according to the ground mulching evaluation number, the slope Degree evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, Carrying out underground water v ulnerability monitoring and evaluation to the target area according to the v ulnerability evaluation number is specially:The v ulnerability evaluation number, which is the ground mulching evaluation number, the gradient evaluation number, the collection is water-based comments The product of valency index and the shallow-layer material composition evaluation number, according to the v ulnerability evaluation number to the target area Carry out underground water v ulnerability monitoring and evaluation.
- 3. method according to claim 1 or 2, it is characterised in that described to obtain target area using multi-spectrum remote sensing image The ground mulching data in domain, and obtain ground mulching evaluation number according to the ground mulching data and specifically include:The ground mulching data of the target area are obtained using multi-spectrum remote sensing image, according to earth's surface cover type or soil profit Assignment is carried out with type, obtains the ground mulching evaluation number.
- 4. method according to claim 1 or 2, it is characterised in that it is described to calculate gradient coefficient using altitude data, obtain The Gradient of the target area, and gradient evaluation number is obtained according to the Gradient and specifically included:Gradient coefficient is calculated using altitude data, the Gradient of the target area is obtained, using nature breakpoint method to described Gradient is classified, and carries out assignment to each rank, obtains the gradient evaluation number.
- 5. method according to claim 1 or 2, it is characterised in that described calculated using altitude data collects water-based score value, Obtain the water-based data of collection of the target area, and obtain collecting water-based evaluation number according to the water-based data of collection and specifically include:Calculated using altitude data and collect water-based score value, obtain the water-based data of collection of the target area, to the water-based number of collection Assignment is carried out according to being classified, and to each rank, obtains the water-based evaluation number of collection;The water-based score value of collection is calculated by following formula:<mrow> <mi>Z</mi> <mo>=</mo> <mn>1</mn> <mo>+</mo> <mi>l</mi> <mi>o</mi> <mi>g</mi> <mfrac> <mi>S</mi> <msub> <mi>S</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mfrac> </mrow>Wherein, Z is the water-based score value of collection, and S is that proluvial fan goes out mountain pass above gathering ground area, S in the target areamin Go out more than mountain pass minimum gathering ground area for proluvial fan in the target area.
- 6. method according to claim 1 or 2, it is characterised in that it is described to utilize radar image, obtain the target area Shallow-layer material composition data, and obtain shallow-layer material composition evaluation number according to the shallow-layer material composition data and specifically wrap Include:Using radar image, the shallow-layer material composition data of the target area are obtained, using unsupervised classification method to described shallow Layer material composition data are classified, and carry out assignment to each rank, obtain the shallow-layer material composition evaluation number.
- A kind of 7. underground water v ulnerability monitoring and evaluation device, it is characterised in that including:Ground mulching evaluation unit, the ground mulching evaluation unit are used to obtain target area using multi-spectrum remote sensing image Ground mulching data, and obtain ground mulching evaluation number according to the ground mulching data;Regional slope evaluation unit, the regional slope evaluation unit are used to calculate gradient coefficient using altitude data, obtain institute The Gradient of target area is stated, and gradient evaluation number is obtained according to the Gradient;Collect water-based evaluation unit, the water-based evaluation unit of collection, which is used to calculate using altitude data, collects water-based score value, obtains institute The water-based data of collection of target area are stated, and obtain collecting water-based evaluation number according to the water-based data of collection;Shallow-layer material composition evaluation unit, the shallow-layer material composition evaluation unit are used to utilize radar image, obtain the mesh The shallow-layer material composition data in region are marked, and shallow-layer material composition evaluation number is obtained according to the shallow-layer material composition data;V ulnerability evaluation unit, the v ulnerability evaluation unit are used for according to the ground mulching evaluation number, the slope Degree evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, Underground water v ulnerability monitoring and evaluation is carried out to the target area according to the v ulnerability evaluation number.
- 8. device according to claim 7, it is characterised in that described according to the ground mulching evaluation number, the slope Degree evaluation number, the water-based evaluation number of the collection and the shallow-layer material composition evaluation number obtain v ulnerability evaluation number, Carrying out underground water v ulnerability monitoring and evaluation to the target area according to the v ulnerability evaluation number is specially:The v ulnerability evaluation number, which is the ground mulching evaluation number, the gradient evaluation number, the collection is water-based comments The product of valency index and the shallow-layer material composition evaluation number, according to the v ulnerability evaluation number to the target area Carry out underground water v ulnerability monitoring and evaluation.
- 9. a kind of electronic equipment, it is characterised in that including memory and processor, the processor and the memory pass through total Line completes mutual communication;The memory storage has and can adjusted by the programmed instruction of the computing device, the processor The method as described in claim 1 to 6 is any is able to carry out with described program instruction.
- 10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the computer program quilt The method as described in claim 1 to 6 is any is realized during computing device.
Priority Applications (1)
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Publication number | Priority date | Publication date | Assignee | Title |
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CN109060710A (en) * | 2018-08-22 | 2018-12-21 | 国诚集团有限公司 | A kind of pollution source of groundwater evaluation method |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130138349A1 (en) * | 2010-05-10 | 2013-05-30 | Groundswell Technologies, Inc. | Method and apparatus for groundwater basin storage tracking, remediation performance monitoring and optimization |
CN103234920A (en) * | 2013-04-23 | 2013-08-07 | 中国人民解放军理工大学 | Underground water enrichment assessment method based on remote sensing information |
CN104123558A (en) * | 2014-06-30 | 2014-10-29 | 中国地质科学院矿产资源研究所 | Multi-source distributed remote sensing discrimination method and system for geothermal resources |
CN105427013A (en) * | 2015-10-27 | 2016-03-23 | 中国环境科学研究院 | Groundwater pollution source strength evaluation method |
CN105447652A (en) * | 2015-12-17 | 2016-03-30 | 北京师范大学 | Appropriateness evaluation method of riverside pumping |
CN105654236A (en) * | 2015-12-29 | 2016-06-08 | 北京师范大学 | Pollution risk evaluation method for underground water type drinking water source region |
JP2016212000A (en) * | 2015-05-11 | 2016-12-15 | 株式会社パスコ | Ground surface water content information acquisition method, ground surface water content information acquisition device and program |
CN106570647A (en) * | 2016-11-08 | 2017-04-19 | 北京师范大学 | Near-river water source water quality pre-warning method based on groundwater pollution risk evaluation |
CN106919754A (en) * | 2017-02-28 | 2017-07-04 | 中国环境科学研究院 | A kind of evaluation method of region phreatic water specific vulnerability |
-
2017
- 2017-07-06 CN CN201710547528.4A patent/CN107480422B/en not_active Expired - Fee Related
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130138349A1 (en) * | 2010-05-10 | 2013-05-30 | Groundswell Technologies, Inc. | Method and apparatus for groundwater basin storage tracking, remediation performance monitoring and optimization |
CN103234920A (en) * | 2013-04-23 | 2013-08-07 | 中国人民解放军理工大学 | Underground water enrichment assessment method based on remote sensing information |
CN104123558A (en) * | 2014-06-30 | 2014-10-29 | 中国地质科学院矿产资源研究所 | Multi-source distributed remote sensing discrimination method and system for geothermal resources |
JP2016212000A (en) * | 2015-05-11 | 2016-12-15 | 株式会社パスコ | Ground surface water content information acquisition method, ground surface water content information acquisition device and program |
CN105427013A (en) * | 2015-10-27 | 2016-03-23 | 中国环境科学研究院 | Groundwater pollution source strength evaluation method |
CN105447652A (en) * | 2015-12-17 | 2016-03-30 | 北京师范大学 | Appropriateness evaluation method of riverside pumping |
CN105654236A (en) * | 2015-12-29 | 2016-06-08 | 北京师范大学 | Pollution risk evaluation method for underground water type drinking water source region |
CN106570647A (en) * | 2016-11-08 | 2017-04-19 | 北京师范大学 | Near-river water source water quality pre-warning method based on groundwater pollution risk evaluation |
CN106919754A (en) * | 2017-02-28 | 2017-07-04 | 中国环境科学研究院 | A kind of evaluation method of region phreatic water specific vulnerability |
Non-Patent Citations (1)
Title |
---|
熊文成等: "基于高分遥感影像的跨国界流域环境监测_以红河流域为例", 《环境监测管理与技术》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109060710A (en) * | 2018-08-22 | 2018-12-21 | 国诚集团有限公司 | A kind of pollution source of groundwater evaluation method |
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